Data Engineering Lead (SVP)

Overview

As part of Citi’s Enterprise Data team, you will lead cloud-native data service engineering to migrate to Databricks and deliver scalable Spark/Scala solutions on AWS. You’ll shape AI-enabled data platforms, optimize performance, and ensure secure, resilient systems. You work closely with cross-functional partners to drive cloud transformation and data capabilities at scale. This role offers mentorship, hands-on leadership, and impact across the firm’s strategic data platform.

Pay / Benefits

• 27 days annual leave (plus bank holidays)
• discretionary annual bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave

Responsibilities

• Lead design, engineering and delivery of cloud data services supporting data pre-processing, matching engines, AI/GenAI services and large-scale platforms
• Drive Databricks/AWS-based data solutions across GRU tech space with scalable architecture
• Develop methodologies and standards for analysis, design, coding, testing, debugging and implementation
• Consult with end users to translate system functions into design
• Allocate work and mentor developers, analysts and new team members
• Influence senior leaders and external stakeholders; negotiate and communicate effectively
• Assess risk and ensure compliance with laws, regulations and Citi policies
• Ensure platform stability, performance, security and AI enablement

Key requirements

• Databricks Lakehouse, Spark, Delta Lake, workflows, performance tuning
• Apache Spark & Scala for high-performance distributed processing
• Cloud Data Engineering on AWS and cloud-native data platforms
• Data Services Architecture & Engineering including streaming and scalable services
• Engineering Architecture & Technical Delivery including CI/CD and governance
• Experience in systems analysis and programming of software applications
• Subject Matter Expert in Applications Development and knowledge of core business functions
• Leadership, project management and stakeholder relationship skills
• Knowledge of risk management and compliance practices

• leadership
• stakeholder management
• communication
• Kafka / Event-Driven Architecture (preferred)
• Apache Iceberg / Delta Lake
• Python (preferred)